Sign up to save your podcasts
Or
Share [QA] Watch Your Steps: Observable and Modular Chains of Thought
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
[QA] Watch Your Steps: Observable and Modular Chains of Thought
We introduce Program Trace Prompting, enhancing chain of thought explanations with formal syntax, improving observability, and enabling analysis of reasoning errors across diverse tasks in the BIG-Bench Hard benchmark.
https://arxiv.org/abs//2409.15359
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
View all episodes
By Igor Melnyk
5
33 ratings
We introduce Program Trace Prompting, enhancing chain of thought explanations with formal syntax, improving observability, and enabling analysis of reasoning errors across diverse tasks in the BIG-Bench Hard benchmark.
https://arxiv.org/abs//2409.15359
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
More shows like Arxiv Papers
View all
Exchanges
970 Listeners
Odd Lots
1,967 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
436 Listeners
The Daily
111,948 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
10,182 Listeners
Hard Fork
5,530 Listeners
UnHerd with Freddie Sayers
195 Listeners
Unsupervised Learning with Jacob Effron
52 Listeners
Latent Space: The AI Engineer Podcast
101 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
491 Listeners